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The Role of Societal Aspects in the Formation of Official COVID-19 Reports: A Data-Driven Analysis

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  • Marcell Tamás Kurbucz

    (Department of Quantitative Methods, Faculty of Business and Economics, University of Pannonia, Egyetem Street 10, H-8200 Veszprém, Hungary
    Wigner Research Centre for Physics, Department of Computational Sciences, Konkoly-Thege Miklós Street 29-33, H-1121 Budapest, Hungary
    Research Centre of Faculty of Business and Economics, University of Pannonia, Egyetem Street 10, H-8200 Veszprém, Hungary
    These authors contributed equally to this work.)

  • Attila Imre Katona

    (Department of Quantitative Methods, Faculty of Business and Economics, University of Pannonia, Egyetem Street 10, H-8200 Veszprém, Hungary
    These authors contributed equally to this work.)

  • Zoltán Lantos

    (Health Experience Institue, Közraktár Street 30-32, H-1093 Budapest, Hungary
    Institute of Advanced Studies (iASK), Chernel Street 14., H-9730 Kőszeg, Hungary
    These authors contributed equally to this work.)

  • Zsolt Tibor Kosztyán

    (Department of Quantitative Methods, Faculty of Business and Economics, University of Pannonia, Egyetem Street 10, H-8200 Veszprém, Hungary
    Research Centre of Faculty of Business and Economics, University of Pannonia, Egyetem Street 10, H-8200 Veszprém, Hungary
    Institute of Advanced Studies (iASK), Chernel Street 14., H-9730 Kőszeg, Hungary
    MTA-PE Budapest Ranking Research Group, Egyetem Street 10., H-8200 Veszprém, Hungary)

Abstract

This paper investigates the role of socioeconomic considerations in the formation of official COVID-19 reports. To this end, we employ a dataset that contains 1159 pre-processed indicators from the World Bank Group GovData360 and TCdata360 platforms and an additional 8 COVID-19 variables generated based on reports from 138 countries. During the analysis, a rank-correlation-based complex method is used to identify the time- and space-varying relations between pandemic variables and the main topics of World Bank Group platforms. The results not only draw attention to the importance of factors such as air traffic, tourism, and corruption in report formation but also support further discipline-specific research by mapping and monitoring a wide range of such relationships. To this end, a source code written in R language is attached that allows for the customization of the analysis and provides up-to-date results.

Suggested Citation

  • Marcell Tamás Kurbucz & Attila Imre Katona & Zoltán Lantos & Zsolt Tibor Kosztyán, 2021. "The Role of Societal Aspects in the Formation of Official COVID-19 Reports: A Data-Driven Analysis," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1505-:d:493859
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    References listed on IDEAS

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    1. Tian, Yahui & Gel, Yulia R., 2019. "Fusing data depth with complex networks: Community detection with prior information," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 99-116.
    2. Cleo Anastassopoulou & Lucia Russo & Athanasios Tsakris & Constantinos Siettos, 2020. "Data-based analysis, modelling and forecasting of the COVID-19 outbreak," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-21, March.
    3. Laszlo Gadar & Zsolt T. Kosztyan & Janos Abonyi, 2018. "The Settlement Structure Is Reflected in Personal Investments: Distance-Dependent Network Modularity-Based Measurement of Regional Attractiveness," Complexity, Hindawi, vol. 2018, pages 1-16, December.
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    2. Wu, Yan & Yang, Yong & Mickiewicz, Tomasz, 2023. "Corruption, the digital sectors, and the profitability of foreign subsidiaries in emerging markets," Journal of Business Research, Elsevier, vol. 161(C).

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